Retailgrid targets retail spreadsheets with €358K pre-seed round

2026-05-19 · Source: Tech.eu - Tech.eu · Field: Retail & Consumer Goods — Retail Technology & Operations, Retail Analytics & Intelligence, Consumer Products & Manufacturing · Depth: Fundamental Awareness, quick

Summary

Helsinki-based retail technology startup Retailgrid has secured €358,000 in pre-seed funding, led by Finnish B2B SaaS investors Ali Omar, Henry Nilert, and Pekka Ylitalo, with participation from Innovestor Angel CoFund. Retailgrid develops an AI-powered cloud platform designed for mid-market retailers and FMCG companies managing large product catalogues. This platform addresses the gap between manual spreadsheet-based workflows and complex enterprise software by offering automated, spreadsheet-style tools for pricing, forecasting, and assortment planning. It connects to existing data sources like ERP systems and e-commerce platforms, enabling users to generate models and recommendations via natural language prompts. The platform features pre-built AI agents for use cases such as price optimisation, sales forecasting, and competitor monitoring, aiming to reduce operational complexity. The new capital will be used to further develop the AI Grid platform, expand its European customer base, and grow its engineering and commercial teams.

Key takeaway

For retail operations managers struggling with fragmented systems and manual spreadsheets, Retailgrid's AI-powered platform offers a scalable alternative. You can integrate existing data sources and use natural language prompts to automate pricing, forecasting, and assortment planning. This shift provides AI-driven insights within a familiar interface, reducing operational complexity and freeing up resources for strategic decisions. Consider evaluating such specialized AI solutions to modernize your retail analytics workflows.

Key insights

Retailgrid offers an AI-powered platform combining spreadsheet familiarity with advanced analytics for mid-market retail operations.

Principles

• Mid-market retailers need scalable, familiar tools.
• AI can automate complex retail analytics.
• Data integration is key for effective retail AI.

Method

The platform connects to existing retail data, allowing users to generate models and recommendations for pricing, forecasting, and assortment planning using natural language prompts.

In practice

• Optimize pricing strategies.
• Forecast sales and demand.
• Plan product assortments.

Topics

• Retail Technology
• AI Platform
• Retail Analytics
• Pricing Optimization
• Sales Forecasting
• Assortment Planning
• Startup Funding

Best for: Investor, Entrepreneur, Operations Professional

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Editorial summary, takeaway, and curation by AIssential. Original article published by Tech.eu - Tech.eu.